Internet of Medical Things (IoMT) for Covid-19 Epidemic Affected People

South Asian Journal of Social Sciences and Humanities
Year: 2021 (August), Volume: (2), Issue. (5)
First page: (65) Last page: (84)
Online ISSN: 2582-7065
doi: 10.48165/sajssh.2021.2505

Internet of Medical Things (IoMT) for Covid-19 Epidemic Affected  People

Zanab Safdar1, Kalsoom Safdar2, Ruqia Safdar Bajwa3, Shafiq Hussain4 & Ahmad Karim5

1,4Department of Computer Science, University of Sahiwal, Sahiwal, Pakistan 

2Department of Computer Science, Air University Multan Campus, Multan, Pakistan 

3Department of Applied Psychology, Bahauddin Zakariya University, Multan, Pakistan/Department of Social and  Development Sciences, Faculty of Human Ecology, University Putra Malaysia (UPM), Malaysia 5Department of Information Technology, Bahauddin Zakariya University, Multan, Pakistan 

Corresponding Author:Ruqia Safdar Bajwa , Email:  ruqiasafdar@bzu.edu.pk

Online Published:
 19th June 2021

Received:
19th June 2021

Accepted:
 15th August 2021

How to cite the Article

Safdar, Z., Safdar, K., Bajwa, R. S., Hussain, S., & Karim, A. (2021). Internet of Medical Things (IoMT) for Covid-19 Epidemic Affected People. South Asian Journal of Social Sciences and Humanities, 2(5), 65–84. https://doi.org/10.48165/sajssh.2021.2505 Cite
Safdar, Zanab, et al. “Internet of Medical Things (IoMT) for Covid-19 Epidemic Affected People.” South Asian Journal of Social Sciences and Humanities, vol. 2, no. 5, 2021, pp. 65–84, http://doi.org/10.48165/sajssh.2021.2505. Cite
1.
Safdar Z, Safdar K, Bajwa RS, Hussain S, Karim A. Internet of Medical Things (IoMT) for Covid-19 Epidemic Affected People. SAJSSH. 2021;2(5):65‑84. DOI: 10.48165/sajssh.2021.2505 Cite
This image has an empty alt attribute; its file name is images.png
View on Google Scholar

ABSTRACT

i. Purpose of the study: Due to the rapid increase of COVID-19 cases, it has become challenging  for the entire world to identify and treat infected patients at existing hospitals. In order to stop the  spread of COVID-19, diseased persons need to be isolated for treatment. Hence, there is an  enormous necessity to identify, monitor, and isolate patients to analyze their current situation and  improve diagnostic accuracy to prevent more spread and deaths. ii. Methodology: Providentially, the recent advances in Information and communications  technology (ICT) like the Internet of Medical Things (IoMT) bring us opportunities to win the  battle against the COVID-19 crisis. The exploratory research distributes practical assistance to the  researcher for the rudimentary work. In this study, the exploratory research method was executed  to explore the existing literature intensively and recognize the COVID-19 affected patients’ issues  or challenges. iii. Main Findings: A new approach of IoMT-based E-Health has been designed and proposed for  affected patient’s treatment in real-time. IoMT based E-Health model venture a prodigious promise  to treat isolated patients where it applies existing technologies to increase quality control and  access to patient healthcare centers in this COVID-19 pandemic effectively. iv. Applications of this study: IoMT-based E-Health involves significant components to track,  identify, monitor, manage, store, and analyze patient information for the ongoing COVID-19  pandemic. With the help of the proposed approach, existing hospitals and healthcare centers can  manage many infected patients, suggest treatment, and respond quickly according to their  emergency alerts. v. Novelty/Originality of this study: This study aims to identify current health systems’ challenges  and design a specialized model for the IoMT based E-Health systems by focusing mainly on the  challenges that surfaced during COVID-19.

KEYWORDS

Dairy sub-sector, Dairy value chain, Milk production, Agricultural Productivity,  White Revolution, Pull-Push factors.